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Microsoft Agent Framework alternatives

15 tools we tested head to head against Microsoft Agent Framework, ranked — and what each one actually does differently.

last reviewed 23 jul 2026 · from our best 16 ai agent frameworks ·list curated by Onur Ozcanxin

first — what you'd be leaving

Microsoft Agent Framework ranks #7 of 16 in our ai agent frameworks testing. the ga successor that merged autogen and semantic kernel.

81/100

the official convergence of autogen and semantic kernel — 1.0 ga, the only serious first-class .net agent framework — but young as a merged product and heavy on azure gravity.

why people look for an alternative
  • young as a merged product
  • heavy microsoft/azure gravity
  • predecessors' churn muddies the migration story

stay with Microsoft Agent Framework if only serious first-class .net agent framework is the thing you care about most — nothing below beats it on that.

the short version
best alternativeLangGraphteams that need durable state, human-in-the-loop and fine-grained control92/100
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  1. 1

    LangGraph

    #1 in ai agent frameworks · the most production-proven stateful-agent runtime

    92/100

    verdictthe thing serious teams build on: a low-level graph runtime with real durability and human-in-the-loop, 1.0-stable, and proven at production scale. steeper to learn, but it earns it.

    LangGraph vs Microsoft Agent Framework
     Microsoft Agent FrameworkLangGraph
    pricefree — MIT (open source)free — MIT (open source)
    free tieryesyes
    languagepython + .netpython + js/ts
    core abstractionagent + workflow orchestrationgraph / state machine
    licenseMITMIT
    durable executionazure-backedyes (checkpointers)
    provider lock-inmulti-provider (azure-deepest)cross-provider

    switch forteams that need durable state, human-in-the-loop and fine-grained control

    pros
    • +genuine durable state, hitl and retries via checkpointers
    • +1.0 stable with a no-breaking-changes commitment
    • +most production-proven option in the category
    cons
    • steeper learning curve than the minimal sdks
    • surrounding langchain ecosystem feels heavy
    • best observability/evals live in paid langsmith
  2. 2

    OpenAI Agents SDK

    #2 in ai agent frameworks · minimal, clean and production-ready — despite the name

    89/100

    verdictthe productionised successor to swarm: a tight event-loop with handoffs, guardrails and built-in tracing that ships fast and reads cleanly. thinner on durability than langgraph, but you can bolt temporal on.

    OpenAI Agents SDK vs Microsoft Agent Framework
     Microsoft Agent FrameworkOpenAI Agents SDK
    pricefree — MIT (open source)free — MIT (open source)
    free tieryesyes
    languagepython + .netpython + typescript
    core abstractionagent + workflow orchestrationevent loop + handoffs
    licenseMITMIT
    durable executionazure-backedvia temporal integration
    provider lock-inmulti-provider (azure-deepest)cross-provider

    switch forteams that want a small, readable agent sdk with built-in tracing

    pros
    • +minimal, readable, fast to ship
    • +built-in tracing, guardrails and sessions
    • +cross-provider despite the openai name
    cons
    • no native durable execution (pair with temporal)
    • leans toward openai's own apis
    • lighter state story than langgraph
  3. 3

    Pydantic AI

    #3 in ai agent frameworks · type-safe agents from the team that validates half of python ai

    88/100

    verdictthe type-safety pick: v1-stable, native temporal durable execution and opentelemetry built in, from the team whose library underpins most python ai. younger multi-agent story than the leaders.

    Pydantic AI vs Microsoft Agent Framework
     Microsoft Agent FrameworkPydantic AI
    pricefree — MIT (open source)free — MIT (open source)
    free tieryesyes
    languagepython + .netpython
    core abstractionagent + workflow orchestrationtyped agent + graph
    licenseMITMIT
    durable executionazure-backedyes (native temporal)
    provider lock-inmulti-provider (azure-deepest)cross-provider

    switch forpython teams that want typed, validated agent outputs and clean observability

    pros
    • +best type-safety and structured outputs in python
    • +v1 stable with native temporal durable execution
    • +opentelemetry/logfire tracing and first-class mcp
    cons
    • younger multi-agent story than langgraph/crewai
    • smaller (if fast-growing) ecosystem
    • python only
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  4. 4

    Google ADK

    #4 in ai agent frameworks · code-first, ga, enterprise deploy — with gemini gravity

    86/100

    verdicta clean, ga code-first framework with strong multi-agent orchestration and a real enterprise deploy story on vertex — model-agnostic via litellm, but at its best on gemini and gcp.

    Google ADK vs Microsoft Agent Framework
     Microsoft Agent FrameworkGoogle ADK
    pricefree — MIT (open source)free — Apache-2.0 (open source)
    free tieryesyes
    languagepython + .netpython + java
    core abstractionagent + workflow orchestrationagent + workflow agents
    licenseMITApache-2.0
    durable executionazure-backedvia vertex agent engine
    provider lock-inmulti-provider (azure-deepest)model-agnostic (litellm)

    switch forteams building multi-agent systems that will deploy on google cloud

    pros
    • +clean code-first design with strong multi-agent
    • +built-in evals, tracing and a2a
    • +real enterprise deploy story on vertex
    cons
    • gravity toward google cloud and gemini
    • best features assume vertex
    • younger than langgraph as a runtime
  5. 5

    Claude Agent SDK

    #5 in ai agent frameworks · the exact harness that runs claude code, as a library

    85/100

    verdictthe best-in-class tool-using autonomous loop, because it's literally what runs claude code — with context management no one else matches. the trade-off is deliberate: claude-only.

    Claude Agent SDK vs Microsoft Agent Framework
     Microsoft Agent FrameworkClaude Agent SDK
    pricefree — MIT (open source)free — MIT (open source)
    free tieryesyes
    languagepython + .netpython + typescript
    core abstractionagent + workflow orchestrationautonomous tool loop
    licenseMITMIT
    durable executionazure-backedcontext mgmt, not durable state
    provider lock-inmulti-provider (azure-deepest)claude-only

    switch forautonomous agents that use files, commands and code with long-running context

    pros
    • +unmatched for file/command/code-using autonomous agents
    • +best-in-class context management and compaction
    • +subagents with isolated context, hooks and mcp
    cons
    • claude-only by design
    • not a multi-provider orchestrator
    • bring your own tracing/evals
  6. 6

    CrewAI

    #6 in ai agent frameworks · the fastest 'team of agents' mental model, now standalone

    83/100

    verdictthe most intuitive role-based framework, now free of its old langchain dependency, with flows for when you need determinism. great ergonomics; fine-grained control is the newer part.

    CrewAI vs Microsoft Agent Framework
     Microsoft Agent FrameworkCrewAI
    pricefree — MIT (open source)free — MIT (open source)
    free tieryesyes
    languagepython + .netpython
    core abstractionagent + workflow orchestrationrole-based crews + flows
    licenseMITMIT
    durable executionazure-backedflow persistence
    provider lock-inmulti-provider (azure-deepest)cross-provider

    switch forteams that think naturally in roles and want agents collaborating on tasks

    pros
    • +fastest role-based 'team of agents' model
    • +now standalone — dropped the langchain dependency
    • +large community; flows add deterministic control
    cons
    • autonomous crews hard to make deterministic at scale
    • fine-grained control lives in newer flows
    • durability weaker than langgraph/temporal-backed tools
  7. 7

    AWS Strands Agents

    #8 in ai agent frameworks · model-driven, ga, and already running inside aws services

    80/100

    verdicta clean, model-driven framework that's genuinely production-used inside aws, ga at 1.0 with four multi-agent primitives — model-agnostic, but with the expected aws pull.

    AWS Strands Agents vs Microsoft Agent Framework
     Microsoft Agent FrameworkAWS Strands Agents
    pricefree — MIT (open source)free — Apache-2.0 (open source)
    free tieryesyes
    languagepython + .netpython + typescript
    core abstractionagent + workflow orchestrationmodel-driven loop
    licenseMITApache-2.0
    durable executionazure-backedremote session manager
    provider lock-inmulti-provider (azure-deepest)model-agnostic

    switch foraws-centric teams that want a model-first loop with native multi-agent primitives

    pros
    • +genuinely production-used inside aws services
    • +ga 1.0 with four native multi-agent primitives
    • +model-agnostic — swap backends without code changes
    cons
    • smaller community than the leaders
    • aws-ecosystem pull; deepest on bedrock
    • younger than langgraph/openai sdk
  8. 8

    LlamaIndex Workflows

    #9 in ai agent frameworks · the right pick when the agent is rag- and data-heavy

    78/100

    verdictan event-driven, 1.0-stable workflow runtime sitting on the strongest rag stack — the natural choice when retrieval, not orchestration, is the hard part of your agent.

    LlamaIndex Workflows vs Microsoft Agent Framework
     Microsoft Agent FrameworkLlamaIndex Workflows
    pricefree — MIT (open source)free — MIT (open source)
    free tieryesyes
    languagepython + .netpython + typescript
    core abstractionagent + workflow orchestrationevent-driven steps
    licenseMITMIT
    durable executionazure-backedworkflow persistence
    provider lock-inmulti-provider (azure-deepest)cross-provider

    switch foragents whose core job is retrieval over your own data

    pros
    • +best fit for rag- and data-heavy agents
    • +clean event-driven model, 1.0 stable
    • +sits on a strong retrieval stack
    cons
    • broader llamaindex package sprawl
    • more data-framework than pure agent runtime
    • orchestration lighter than langgraph
  9. 9

    Agno

    #10 in ai agent frameworks · fast, full-stack, now framework-agnostic — after a churny v2

    76/100

    verdicta high-performance, batteries-included library with a genuinely novel framework-agnostic runtime — but the breaking v2 rewrite and the phidata rename hurt its stability story.

    Agno vs Microsoft Agent Framework
     Microsoft Agent FrameworkAgno
    pricefree — MIT (open source)free — Apache-2.0 (open source)
    free tieryesyes
    languagepython + .netpython
    core abstractionagent + workflow orchestrationagent + team + agentos
    licenseMITApache-2.0
    durable executionazure-backedagentos runtime
    provider lock-inmulti-provider (azure-deepest)cross-provider

    switch forteams wanting a fast, batteries-included runtime that can host other frameworks' agents

    pros
    • +very fast, batteries-included
    • +novel framework-agnostic agentos runtime
    • +teams and workflows for multi-agent
    cons
    • v2 was a breaking rewrite requiring migration
    • phidata rename plus v2 churn hurt stability perception
    • smaller track record than the leaders
  10. 10

    Mastra

    #11 in ai agent frameworks · the most complete typescript-native agent framework

    75/100

    verdictthe batteries-included choice for typescript: workflows with suspend/resume, memory, evals and a dev playground, with excellent dx. younger and smaller than the python leaders.

    Mastra vs Microsoft Agent Framework
     Microsoft Agent FrameworkMastra
    pricefree — MIT (open source)free — Apache-2.0 core
    free tieryesyes
    languagepython + .nettypescript
    core abstractionagent + workflow orchestrationagent + workflow
    licenseMITApache-2.0 core (+ commercial ee/)
    durable executionazure-backedworkflow suspend/resume
    provider lock-inmulti-provider (azure-deepest)cross-provider

    switch fortypescript teams that want agents, workflows, memory and evals in one place

    pros
    • +most complete typescript-first agent framework
    • +workflows with suspend/resume, memory and evals
    • +excellent developer experience and dev playground
    cons
    • younger, smaller ecosystem than python leaders
    • durability workflow-based, not temporal-grade
    • commercial ee/ directory split
+ 5 more tested, not detailed here
we ranked 16 ai agent frameworks in total. the 5 that didn't make this page are written up in the full ranking →

how these were compared

every tool on this page went through the same test as Microsoft Agent Framework — same tasks, same order, scored the same way. the comparison tables are the figures from that testing, not vendor spec sheets.

the ai agent frameworks test in full →
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